981583122061Genet MedGenet. Med.Genetics in medicine : official journal of the American College of Medical Genetics1098-36001530-036623018750439499110.1038/gim.2012.118HHSPA676653ArticleHealth behaviors and cancer screening among Californians with a family history of cancerTownsendJulie S.MS12SteeleC. BrookeDO1RichardsonLisa C.MD, MPH1StewartSherri L.PhD1Centers for Disease Control and Prevention, Atlanta, GA, Division of Cancer Prevention and ControlCorresponding author’s address: 4770 Buford Hwy NE, MS K57, Atlanta, GA 30341, Phone: (770) 488-3012, Fax: (770) 488-4335, jtownsend@cdc.gov1420152792012320131342015153212221Purpose

The purpose of this study is to compare health behaviors and cancer screening among Californians with and without a family history of cancer.

Methods

We analyzed data from the 2005 California Health Interview Survey to ascertain cancer screening test use and to estimate the prevalence of health behaviors that may reduce the risk of cancer. We used logistic regression to control for demographic factors and health care access.

Results

Women with a family history of breast or ovarian cancer were more likely to be up-to-date with mammography compared to women with no family history of cancer (OR = 1.69, 95% CI [1.39, 2.04]); their health behaviors were similar to other women. Men and women with a family history of colorectal cancer were more likely to be up-to-date with CRC screening compared to individuals with no family history of cancer (OR=2.77, 95% CI [2.20, 3.49]), but were less likely to have a BMI < 25 kg/m2 (OR=0.80, 95% CI [0.67, 0.94]).

Conclusion

Innovative methods are needed to encourage those with a moderate to strong familial risk for breast cancer and colorectal cancer to increase their physical activity levels, strive to maintain a healthy weight, quit smoking, and reduce alcohol use.

family medical historybehavioral risk factorscolorectal neoplasmsbreast neoplasmscancer screening
INTRODUCTION

Hereditary breast and ovarian cancer (HBOC) syndrome and Lynch syndrome increase individual risk for breast, ovarian, colorectal (CRC), and uterine cancers.1 Inherited mutations associated with these syndromes account for up to 10% of each of these cancers in the United States.1 In addition to these genetic syndromes, family medical history (FMH) is an established risk factor for blood relatives to develop the same or related cancers. Along with shared genetic risk factors, families may also share the same environment and exposures, and similar health behaviors which lead to increased cancer risk.

Nearly 8% of people in the United States report having a first-degree relative with a history of breast cancer; 7.1%, with a history of lung cancer; 5.0%, with a history of CRC; 4.7%, with a history of prostate cancer; and 1.8%, with a history of ovarian cancer.2 Having a first-degree relative with breast cancer increases an individual’s risk two-fold.3 Similarly, having a first-degree relative diagnosed with CRC doubles a person’s risk.4 Convincing evidence demonstrates that alcohol consumption increases risk for both pre- and postmenopausal breast cancers5 and CRC.6 Obesity increases risk for endometrial,7 CRC,6 and postmenopausal breast cancer.5 Regular physical activity is associated with a lower risk of colon cancer,8 and likely reduces risk for endometrial cancer7 and breast cancer in postmenopausal women.5 Tobacco use can increase risk for CRC,9 and may modestly increase breast cancer risk based on findings from recent large prospective cohort studies.10 Fruit and vegetable consumption 5,11 and dietary intake of fat5 likely have little effect on breast cancer risk. Although fruit and vegetable consumption has not been consistently linked with CRC,11 consumption of red and processed meat may increase risk, while high fiber diets may lower risk.6 Approximately 23% of CRC cases could be prevented through the combination of no smoking, regular physical activity, limiting alcohol use, and maintaining a healthy diet and waist circumference. 12

Modification of dietary and lifestyle behaviors can reduce the risk of breast and CRC even in individuals with FMH of these cancers.13,14 While cancer screening test use is higher in persons with FMH of CRC15,16 and breast cancer16; less is known about their health behaviors at the population-level.17 Additionally, few studies have addressed how FMH can be used to motivate individuals to adopt and maintain healthy lifestyles to reduce disease risk.18

The aim of this study is to examine health behaviors (maintenance of healthy weight, prudent alcohol use, regular physical activity, fruit and vegetable consumption, and no smoking) of Californians who report having one or more family members with a history of cancer (primarily in first-degree relatives), compared with health behaviors of individuals who report no FMH of cancer in a first-degree relative, with emphasis on family history of breast or ovarian cancers, CRCs, and FMH of early onset cancer in a first-degree relative. CRC and breast cancer screening test use is also compared among these individuals. We utilized the 2005 California Health Interview Survey (CHIS), a population-based survey to examine these factors.

MATERIALS AND METHODSData Source

Adult and family health history public use data files of the 2005 CHIS (the most current data at the time this study was conducted) were obtained. CHIS is a population-based, random-digit-dialed telephone survey conducted every 2 years with non-institutionalized California resident households, to obtain information on health behaviors, health care access, insurance coverage, health status, and a variety of other health-related topics. The CHIS uses a two-stage geographically stratified sampling design and interviews are conducted in five languages to reach California’s diverse population. More information on CHIS methodology can be obtained at http://www.chis.ucla.edu/designs-methods.html. In 2005, over 45,000 households participated in the CHIS with an overall household response rate of 29.5%. This response rate is based on the American Association for Public Opinion Research (AAPOR)’s overall response rate definition, which includes partially completed questionnaires (http://www.chis.ucla.edu/pdf/CHIS2005_method4.pdf).

In the 2005 CHIS adult survey, Californians aged 18–64 years were asked about their FMH of any cancer among first-degree (mother, father, brother(s), sister(s), and children) and second-degree (grandparents, aunts, and uncles) relatives. Distinctions were made between half and full siblings. For each affected family member, respondents were asked about the specific type of cancer (breast, ovarian, uterine/endometrial, or colon/ rectum for female family members, and breast, colon/rectum, or prostate cancer for male family members) and if the affected family member was under age 50 years at the time of his or her diagnosis.

Inclusion Criteria

The adult CHIS public-use dataset included 43,020 adults. We excluded 9,833 adults aged ≥ 65 years because they were not asked their FMH of cancer. We excluded an additional 2,501 respondents because they had a personal history of any cancer, and 426 additional respondents who did not know if they had a first-degree family member with a history of cancer. This left 30,260 respondents for the analysis.

We created indicator variables (Table 1) based on responses to the FMH module regarding type of cancer and the affected family member to classify respondents who would be at moderate to strong risk for cancer based on their FMH profile (degree of relation, number, age of affected relatives): 1) Any family history of cancer (primarily in a first-degree relative); or 2) FMH of CRC; 3) FMH of breast or ovarian cancer; and 4) FMH history of CRC, breast, prostate, ovarian, or endometrial cancer in a first-degree relative diagnosed under age 50 (i.e. early onset), which included examining the subpopulations of FMH of CRC and breast or ovarian cancer separately in descriptive analyses only. We included ovarian cancer history and second-degree relatives in the same lineage to better classify women at moderate-to-strong risk for developing familial breast cancer.19 Of 18,501 respondents with no FMH of cancer in a first-degree relative, 251 women had female breast or ovarian cancer in two or more second-degree relatives in the same lineage or a second-degree male relative with breast cancer, and 83 respondents without a first-degree relative diagnosed with cancer had two or more second-degree relatives in the same lineage with CRC. These respondents with FMH of breast, ovarian, or CRC were grouped with respondents having a first-degree relative with cancer. This left 12,026 respondents with a FMH of cancer, and 18,234 without.

Variables and Statistical Analysis

We examined the following demographic or health care access variables: sex, age group, race/ethnicity (based on race/ethnic group respondent most identified with), household income, education level, health insurance coverage, marital status, general health condition, having a condition that substantially limits one or more basic physical activities, and having a usual place to go when sick or in need of health advice. We included the following health behaviors: eating five or more servings of fruits and vegetables/ day (marker of a healthy diet/ weight management aid),20 regular physical activity (20 minutes of vigorous physical activity ≥ 3 days in the past week or 30 minutes of moderate physical activity ≥ 3 days in the past week), smoking status (current, former/ never smoked regularly), binge drinking in the past month (≥ 5 drinks per occasion for men and ≥ 4 drinks per occasion for women), and self-reported body mass index (BMI) (underweight/normal: <25.0 kg/m2, overweight/obese: 25.0 kg/m2 or higher).

Respondents were considered up-to-date with cancer screening tests if they were screened according to 2005 United States Preventive Services Task Force (USPSTF) guidelines. We classified respondents aged ≥ 50 years as being up-to-date with CRC screening if at least one of the following conditions were met: fecal occult blood test (FOBT) received within the past year, sigmoidoscopy within the past 5 years, or colonoscopy within the past 10 years. Women aged ≥ 40 years were considered up-to-date with screening for breast cancer if they had received mammography within the past 2 years. For women who were up-to-date with mammography screening, we examined the reason women provided for receiving their last mammogram. For men and women aged ≥ 40 years with FMH of CRC, we also assessed receipt of colonoscopy within the past 5 years and receipt of any CRC screening test within appropriate time intervals for average-risk individuals because more stringent screening is recommended in this population.21 Because women with FMH profiles of early onset breast or ovarian cancer may be encouraged to initiate breast cancer screening at an earlier age than average-risk women,22 we examined the prevalence of women aged ≥ 30 years receiving a mammogram within the past year.

We used SAS v9.2 (SAS Institute, Cary, NC) and SAS callable SUDAAN release 10 (Research Triangle Institute, Research Triangle Park, NC) to conduct all analyses to account for the complex sampling design of CHIS. In both the descriptive and multivariate logistic regression analyses, the jackknife method was used to calculate variance, because replicate weights were provided to accurately calculate variance due to the complex sampling design of the CHIS. All estimates were weighted to produce population estimates that account for the probability of selection and factors associated with survey design and administration (e.g., non-response and under-coverage due to lack of a residential landline).

We conducted a descriptive analysis comparing respondents with each of the different FMH of cancer profiles to persons without a FMH of cancer, to obtain percentages and standard errors on demographic characteristics, health behaviors of interest, and cancer screening test use. P values were obtained from Rao-Scott chi-square tests. We conducted a multivariate logistic regression analysis, building separate logistic regression models with the following seven outcomes as dichotomous variables (yes vs. no): 1) eating five or more servings of fruits and vegetables per day; 2) engaging in regular physical activity; 3) not a current smoker; 4) BMI < 25.0 kg/m2; 5) no alcoholic binge drinking in the past month (i.e., the month preceding survey), and 6) up-to-date with CRC screening; and 7) breast cancer screening. Models were run separately for any FMH of cancer, FMH of breast or ovarian cancer (women only), FMH of CRC, and FMH of early onset cancer in a first-degree relative to obtain odds ratios and 95% confidence intervals for the outcomes of interest adjusted for demographic characteristics and health care access. The referent group in all models was respondents without FMH of cancer. We used a backwards elimination approach to eliminate nonsignificant (P < 0.05) covariates from all models (with the exception of age, race/ethnicity, and having a usual healthcare provider).Covariates initially included in the health behavior models were: age, sex (except for the FMH of breast or ovarian cancer model), race/ethnicity, household income, health insurance status, education level, having a usual health care provider, having a condition that substantially limits one or more basic physical activities, marital status, and general health status. Covariates initially included in the cancer screening models were: age, race/ethnicity, household income, health insurance status, education level, having a usual health care provider, marital status, and sex (CRC screening models).

RESULTS

Prevalence of FMH of cancer was higher among women, older age groups, and more educated, higher income individuals (Table 2). Non-Latino whites and American Indians/Alaska Natives (42.8% and 37.5%, respectively) reported a higher prevalence of any FMH of cancer, while Asian/Pacific Islanders and Latinos had the lowest prevalence (22.1%, and 17.6%, respectively; P < 0.0001). Prevalence of FMH of cancer was more often reported by individuals with health care coverage and who had a usual health care provider.

Nearly 45% of men and women with FMH of CRC consumed five or more servings of fruits and vegetables per day compared to 49.5% of men and women without FMH of cancer (Table 3; P =0.0057). After adjustment for demographic characteristics and health care access, men and women with FMH of CRC were 16% less likely to consume five or more servings of fruits and vegetables per day (OR=0.84, 95% CI [0.73, 0.96]). After adjustment for demographic characteristics and health care access in multivariate models, no significant differences were found for binge drinking. Men and women with FMH of any cancer had lower rates of a BMI < 25.0 kg/m2 compared to men and women with no FMH of cancer (42.6% vs. 45.7%, respectively; P =0.0001); results are similar for persons with FMH of CRC (39.4%, P =0.0011) and FMH of early onset cancer (41.6%, P =0.0074). After adjustment for demographic characteristics and health care access, men and women with FMH of any cancer were 9% less likely to report being normal/underweight compared to persons without FMH of cancer (OR=0.91, 95% CI [0.85, 0.98]), and men and women with FMH of CRC were 20% less likely to report being normal/underweight (OR=0.80; 95% CI [0.67, 0.94]).

Among men and women aged ≥ 50 years with FMH of CRC, 71.5% were up-to-date with CRC screening, compared to 44.5% of persons without FMH of cancer (P <0.0001). After adjustment for demographic characteristics and health care access, men and women with FMH of CRC were nearly 2.8 times more likely to be up-to-date (OR=2.77; 95% CI [2.20, 3.49]); while persons with FMH of any cancer and persons with FMH of early onset cancer were more likely to be up-to-date compared to persons without FMH of cancer (OR=1.33, 95% CI [1.17, 1.51] and OR=1.37, 95% CI [1.12, 1.66], respectively). Nearly 58% of men and women aged 40 – 64 years with FMH of CRC and 53% with FMH of early onset CRC were up-to-date at screening intervals recommended for the average-risk population (P <0.0001 and P <0.0001, respectively). Among this age group, 42.0% of persons with FMH of early onset CRC had received a colonoscopy within the past five years (P <0.0001). These findings were nearly identical to all persons with FMH of CRC.

Although women with FMH of breast or ovarian cancer reported higher levels of regular physical activity, lower rates of not being a current smoker, and lower rates of normal/underweight status compared to women without FMH of cancer, these differences for physical activity, smoking status, and weight disappeared after adjustment for demographic characteristics and health care access (Table 4).

Eighty-five percent of women aged 40 – 64 years with FMH of breast or ovarian cancer had received a mammogram within the past two years, compared to 73.7% of women without FMH of cancer (P <0.0001). After adjustment for demographic characteristics and health care access, women with FMH of breast or ovarian cancer were nearly 1.7 times more likely to be up-to-date compared to women without FMH of cancer (OR=1.69, 95% CI [1.39, 2.04]). Among women aged 30 – 64 years who had received a mammogram within the past two years, 33.2% of women with FMH of breast or ovarian cancer and 41.7% with FMH of early onset breast or ovarian cancer reported that the reason for the test was due to family history, compared to 2.6% of women with no FMH of any cancer (P <0.0001). Younger women (aged 30 – 49 years) more frequently reported family history as a reason for the test than older women (data not shown). Fifty-six percent of women aged 30 – 64 years with FMH of early onset breast or ovarian had received a mammogram within the past year (P <0.0001). Rates were highest among women aged 50 – 59 years (78.7%) compared to women aged 30 – 39 years and 40 – 49 years (28.4% and 55.5%, respectively; data not shown).

DISCUSSION

In this large, population-based study, we found that men and women with an FMH of CRC were less likely to maintain a healthy weight and consume 5 or more servings of fruits and vegetables per day (which increases risk for CRC), than those without FMH of cancer. Conversely, we found that men and women with FMH were more likely to be up-to-date with cancer screenings than those without. To our knowledge, these weight-related findings are some of the first to be presented for individuals with cancer FMH. Additionally, our study, being one of only a few that is population-based, strengthens the literature on all health behaviors and cancer screenings in those with FMH of cancer.

While our findings on healthy weight among individuals with FMH of CRC appear to be novel, our health behavior findings on physical activity and alcohol use are generally similar to those from other recent studies. 17,23 In our study, women with FMH of breast or ovarian cancer had health behaviors similar to women without FMH of cancer. Other studies have found similar results,24,25 although some studies have found more intense or higher levels of physical activity in women with a family history of breast cancer,2628 or greater practice of health behaviors was observed, compared with the general population.26 In some of these studies, data were drawn on women of higher education or socioeconomic status;26,28 therefore, these findings may not be generalizable to other populations, including ours.

Taken together, our health behavior findings indicate that there may be missed opportunities to improve the health of a population that is at increased risk of cancer. FMH of cancer represents a complex interaction between genes and environment. Since only a small fraction of cancer cases are attributable to hereditary syndromes, clinicians should consider health behavior counseling when they encounter patients with FMH of cancer, because they may be exhibiting the same negative behaviors that likely contributed to their relative’s cancer. Studies have shown that persons with FMH of breast or CRC are more likely to receive recommendations from health care providers to improve health behaviors, but the overall number receiving these recommendations may be low.17,29 In one study, women with FMH of breast cancer were more likely to report making one or more health behavior changes because of a recently diagnosed first-degree relative.30 Persons with a FMH of CRC may also be willing to make health behavior changes and to follow through,17 but awareness of risk factors for CRC may be low.31 Additionally, awareness of FMH of cancer may not always translate into positive health behaviors. Conversely, it may place too much emphasis on genetic susceptibility.32 In this study, we were unable to assess if our study findings were due to a lack of awareness of risk factors for breast and CRC. Regardless, patients with an FMH of cancer may benefit from a targeted approach to improving their health behaviors. Findings from the Family Healthware Impact trial indicate modest increases in physical activity levels after a targeted intervention.33

Results from our cancer screening analysis showed that women with FMH of breast or ovarian cancer were nearly 1.7 times more likely to be up-to-date with mammography screening compared to women without FMH of cancer, but nearly 15% were not up-to-date with recommendations for women at average risk for breast cancer. Although men and women with FMH of CRC were 2.8 times more likely to be recently screened compared to men and women without FMH of cancer, nearly 29% were not currently up-to-date with recommendations for average-risk individuals. Nearly 42% of women with FMH of early onset breast or ovarian cancer reported that the reason for their last mammogram was due to FMH of cancer. Although sample sizes were small, we found this varied considerably by age. Younger women more frequently reported family history as a reason compared to older women. Our findings of increased cancer screening test use among Californians with FMH of cancer are similar to other studies that examine this. 15,16 These findings indicate that many patients and their health care providers recognize the increased risk conferred by FMH of cancer. However, screening for CRC is suboptimal for men and women with FMH of early onset CRC; 58% had not received a colonoscopy within the past 5 years. While having a FMH of cancer did increase the odds of breast and CRC screening, a considerable portion of individuals in our study with FMH of early onset CRC, breast or ovarian cancer were not appropriately screened considering their FMH profile. Although sample sizes were small, only 28% of women aged 30 – 39 years with a FMH of early onset breast or ovarian cancer had received a mammogram within the past year (data not shown).These study findings may be due in part to the challenges of collecting FMH of cancer in the clinical setting. Primary care clinicians are often the first healthcare providers to ascertain family health histories and refer patients for cancer screening.34 Barriers to collecting the FMH include lack of time,18,34 limited tools for use in primary care,34 concerns about validity of self-reported FMH,35 and lack of clear guidelines to assist in collecting, interpreting, and using FMH for disease risk management.36 Some investigators have indicated that the accuracy of self-reports of FMH of cancer may be improved if tools rather than interviews are used,34 and if information is collected outside of clinical visits, where it could be checked with relatives.35 The US Surgeon General’s family health history initiative encourages Americans to learn more about their family’s health history, and a computerized tool is available to record family health information (available at http://www.hhs.gov/familyhistory/). Guidelines on how to systematically assess risk of cancer or use the information to guide prevention efforts is limited, but some resources are available to providers. The American Medical Association provides resources and tools to assist providers in collecting histories (available at http://www.ama-assn.org/ama/pub/physician-resources/medical-science/genetics-molecular-medicine/family-history.page?). As electronic medical records (EMRs) are increasingly adopted by primary care physicians, existing tools must be able to interface or be integrated into these systems. However, EMRs may allow more extensive FMHs to be assembled more easily.37

This study is subject to some limitations. Currently, standardized definitions do not exist for moderate and high risk FMH of cancer profiles, so some respondents may have been misclassified. CHIS is a cross-sectional telephone survey, so self-reported demographic, health behavior, FMH, and cancer screening information may all be subject to social desirability bias. FMH of cancer was not verified against medical records or cancer registry data, so under- or over-reporting was possible, and this likely occurred with endometrial cancer, which is not reported as accurately as other cancer sites.38 Foreign-born status may partially explain racial and ethnic differences in reporting FMH of cancer.39 However, accurate self-reporting of family history of cancer in first-degree relatives for breast, CRC, and prostate cancer is high.38 Our results for California are not generalizable to the overall United States population. Because we examined seven different outcomes for several different cancer FMH profiles, some findings may be due to chance alone. Despite these limitations, few population-based surveys collect data on FMH of cancer that includes age of onset and second-degree relatives. CHIS is a large health survey from a racially and ethnically diverse population, therefore most of our analyses were not constrained by small sample sizes.

Conclusion

Individuals with FMH of breast, ovarian, or CRC cancers are at higher risk of developing these same cancers, and would benefit from adopting healthier lifestyles that may reduce their own cancer risk. Innovative methods may be needed by California health care providers to raise awareness of behavioral risk factors and motivate these individuals to adopt healthier lifestyles.

We have no funding sources to declare or conflicts of interest to report.

The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention.

REFERENCESShulmanLPHereditary breast and ovarian cancer (HBOC): clinical features and counseling for BRCA1 and BRCA2, Lynch syndrome, Cowden syndrome, and Li-Fraumeni syndromeObstetrics and gynecology clinics of North America2010337110913320494261RamseySDYoonPMoonesingheRKhouryMJPopulation-based study of the prevalence of family history of cancer: implications for cancer screening and preventionGenet Med200698957157516980813PharoahPDDayNEDuffySEastonDFPonderBAFamily history and the risk of breast cancer: a systematic review and meta-analysisInt J Cancer19975297158008099180149ButterworthAHigginsJPPharoahPRelative and absolute risk of colorectal cancer for individuals with a family history: a meta-analysisEur J Cancer200642221622716338133World Cancer Research Fund / American Institute for Cancer ResearchContinuous update project report summary. Food, nutrition, physical activity, and the prevention of breast cancer2008LondonWorld Cancer Research Fund InternationalWorld Cancer Research Fund/American Institute for Cancer ResearchWCRF/AICR systematic literature review continuous update project report: The associations between food, nutrition and physical activity and the risk of colorectal cancer2010LondonWorld Cancer Research Fund InternationalWorld Cancer Research Fund/American Institute for Cancer ResearchFood, Nutrition, Physical Activity, and the Prevention of Cancer: A Global Perspective2007Washington, DCAmerican Institute for Cancer ResearchWolinKYYanYColditzGALeeIMPhysical activity and colon cancer prevention: a meta-analysisBr J Cancer2009224100461161619209175BotteriEIodiceSBagnardiVRaimondiSLowenfelsABMaisonneuvePSmoking and colorectal cancer: a meta-analysisJAMA20081217300232765277819088354XueFWillettWCRosnerBAHankinsonSEMichelsKBCigarette smoking and the incidence of breast cancerArch Intern Med2011124171212513321263102KeyTJFruit and vegetables and cancer riskBr J Cancer201114104161121119663KirkegaardHJohnsenNFChristensenJFrederiksenKOvervadKTjonnelandAAssociation of adherence to lifestyle recommendations and risk of colorectal cancer: a prospective Danish cohort studyBMJ2010341c550420978063SlatteryMLLevinTRMaKGoldgarDHolubkovREdwardsSFamily history and colorectal cancer: predictors of riskCancer Causes Control20031114987988714682445GramlingRLashTLRothmanKJFamily history of later-onset breast cancer, breast healthy behavior and invasive breast cancer among postmenopausal women: a cohort studyBreast Cancer Res20101012125R8220939870BeydounHABeydounMAPredictors of colorectal cancer screening behaviors among average-risk older adults in the United StatesCancer Causes Control2008519433935918085415ShahMZhuKPalmerRCJatoiIShriverCWuHBreast, colorectal, and skin cancer screening practices and family history of cancer in U.S. womenJ. Womens Health (Larchmt)2007516452653417521256ZlotAISilveyKNewellNCoatesRJLemanRFamily history of colorectal cancer: clinicians’ preventive recommendations and patient behaviorPrev Chronic Dis201219E2122172188ClaassenLHLJanssensACWijdenes-PijlMQureshiNWalterFMYoonPWTimmermansDRUsing family history information to promote healthy lifestyles and prevent diseases; a discussion of the evidenceBMC Public Health20101024820465810ScheunerMTMcNeelTSFreedmanANPopulation prevalence of familial cancer and common hereditary cancer syndromes. The 2005 California Health Interview SurveyGenet Med201011121172673520921897RollsBEllo MartinJTohillBWhat can intervention studies tell us about the relationship between fruit and vegetable consumption and weight management?Nutrition reviews200462111714995052LevinBLiebermanDAMcFarlandBScreening and surveillance for the early detection of colorectal cancer and adenomatous polyps, 2008: a joint guideline from the American Cancer Society, the US Multi-Society Task Force on Colorectal Cancer, and the American College of RadiologyCA Cancer J Clin2008May-Jun58313016018322143SaslowDBoetesCBurkeWAmerican Cancer Society guidelines for breast screening with MRI as an adjunct to mammographyCA Cancer J Clin2007Mar-Apr572758917392385BurtonAMPetersonSKMaraniSKHealth and lifestyle behaviors among persons at risk of Lynch syndromeCancer Causes Control2010421451352120012181MadlenskyLVierkantRAVachonCMPreventive health behaviors and familial breast cancerCancer Epidemiol Biomarkers Prev20051014102340234516214914SpectorDDerooLASandlerDPLifestyle behaviors in black and white women with a family history of breast cancerPrev Med20115152539439721396953EmmonsKMKalkbrennerKJKlarNLightTSchneiderKAGarberJEBehavioral risk factors among women presenting for genetic testingCancer Epidemiol Biomarkers Prev2000191899410667468AudrainJSchwartzMHerreraJGoldmanPBushAPhysical activity in first-degree relatives of breast cancer patientsJ Behav Med20011224658760311778352OchoaEGómez-AceboIRodríguez-CundínPNavarro-CórdobaMLlorcaJDierssen-SotosTRelationship between family history of breast cancer and health-related behaviorBehav Med201036412312921186435ZlotAICoxSLSilveyKLemanRThe effect of chronic disease family history on healthcare provider practice and patient behavior among OregoniansPublic Health Genomics2012153–418920022488462LemonSCZapkaJGClemowLHealth behavior change among women with recent familial diagnosis of breast cancerPrev Med2004839225326215226033AkhtarSSinhaSMcKenzieSSagarPMFinanPJBurkeDAwareness of risk factors amongst first degree relative patients with colorectal cancerColorectal Dis20081110988789018384422O’NeillSCMcBrideCMAlfordSHKaphingstKAPreferences for genetic and behavioral health information: the impact of risk factors and disease attributionsAnn Behav Med20101040212713720532842RuffinMTtNeaseDEJrSenAEffect of preventive messages tailored to family history on health behaviors: the Family Healthware Impact TrialAnn Fam Med2011Jan-Feb9131121242555QureshiNWilsonBSantaguidaPCarrollJAllansonJCulebroCRBrouwersMRainaPCollection and use of cancer family history in primary care: evidence report/technology assessment No. 1592007Rockville, MDAgency for Healthcare Research and QualityMurfHJSDSyngalSDoes this patient have a family history of cancer? An evidence-based analysis of the accuracy of family cancer historyJAMA2004292121480148915383520WoodMEStockdaleAFlynnBSInterviews with primary care physicians regarding taking and interpreting the cancer family historyFam Pract20081025533434018765407QureshiNWilsonBSantaguidaPFamily history and improving healthEvidence report/technology assessment200981861135ZiogasAAnton-CulverHValidation of family history data in cancer family registriesAm J Prev Med2003224219019812568826OromHCoteMLGonzalezHMUnderwoodW3rdSchwartzAGFamily history of cancer: is it an accurate indicator of cancer risk in the immigrant population?Cancer2008115112239940618072272

Indicator variables, based on responses to the family history module regarding type of cancer and the affective family member

History of any cancer in

A first-degree relative, or

History of colorectal cancer (described below)

History of breast or ovarian cancer (described below)

History of colorectal cancer in

A first-degree relative, or

Two or more second-degree relatives in the same lineage.

History of female breast or ovarian cancer in

One or more first-degree relatives;

Two or more second-degree relatives in the same lineage; or

Any first- or second-degree male relative with breast cancer.

History of colorectal, breast, prostate, ovarian, or endometrial cancer in a first-degree relative diagnosed under age 50.

Prevalencea of family medical history of cancer by demographic characteristics of Californians aged 18–64 years, California Health Interview Survey, 2005

Family Medical History of Cancer

Men and womenWomen only

CharacteristicSamplesize(unweighted)None,n=18,234Any,n=12,026Early onset infirst-degreerelative (any)n=2,145bColorectalcancern=1,538Nonen=10,118cBreast orovariancancern=2,357c

% (SE)% (SE)Pd% (SE)Pd% (SE)Pd% (SE)Pd
Sex
  Female1751865.8 (0.5)34.2 (0.5)<0.00017.0 (0.2)<0.00014.0 (0.2)0.0009
  Male1274271.3 (0.5)28.7 (0.5)5.2 (0.2)3.3 (0.2)N/AN/A
Age (years)
  18–391158980.6 (0.5)19.4 (0.5)<0.00014.9 (0.2)<0.00011.4 (0.1)<0.000178.4 (0.7)7.5 (0.3)<0.0001
  40–49824960.2 (0.7)39.8 (0.7)6.6 (0.3)4.8 (0.3)57.1 (0.9)13.3 (0.6)
  50–59760950.0 (0.8)50.0 (0.8)8.2 (0.4)7.6 (0.4)47.7 (1.1)15.6 (0.7)
  60–64281348.5 (1.1)51.5 (1.1)8.5 (0.8)7.3 (0.6)45.5 (1.7)16.6 (1.2)
Race/ethnicity
  Latino567082.4 (0.6)17.6 (0.6)<0.00014.9 (0.4)<0.00011.5 (0.2)<0.000180.3 (0.9)6.9 (0.5)<0.0001
  AmericanIndian/Alaska39862.5 (3.3)37.5 (3.3)10.2 (1.9)4.5 (1.4)59.9 (4.4)20.7 (4.1)
  NativeAsian/PacificIslander331677.9 (0.9)22.1 (0.9)3.0 (0.4)3.0 (0.4)73.9 (1.2)6.6 (0.7)
  African American149767.6 (1.5)32.4 (1.5)7.3 (0.9)3.9 (0.5)65.0 (2.0)10.5 (1.2)
  White1853057.2 (0.5)42.8 (0.5)7.6 (0.3)5.2 (0.2)54.4 (0.7)14.7 (0.5)
  Other single/2 ormore races84974.1 (2.1)25.9 (2.1)3.6 (0.7)1.9 (0.5)71.0 (2.7)8.3 (1.7)
Annual householdincome
  $0-$20,000521777.8 (0.8)22.2 (0.8)<0.00015.6 (0.4)0.00022.3 (0.2)<0.000175.2 (1.1)8.0 (0.6)<0.0001
  $20,001–$40,000587374.6 (0.8)25.4 (0.8)5.8 (0.4)2.2 (0.2)70.6 (0.9)9.5 (0.6)
  $40,001–$60,000482066.1 (0.9)33.9 (0.9)6.6 (0.4)4.3 (0.3)63.0 (1.3)12.1 (0.7)
  >$60,0001435062.5 (0.6)37.5 (0.6)6.2 (0.2)4.8 (0.2)59.5 (0.8)12.6 (0.5)
Education level
  Less than highschool321380.7 (1.1)19.3 (1.1)<0.00015.1 (0.5)<0.00011.3 (0.2)<0.000178.4 (1.3)5.5 (0.6)<0.0001
  High schoolgraduate679572.3 (0.6)27.7 (0.6)5.9 (0.3)3.4 (0.3)68.2 (1.0)10.4 (0.6)
  Some college813765.5 (0.7)34.5 (0.7)7.3 (0.4)4.2 (0.3)62.5 (0.9)11.8 (0.6)
  College graduate1211562.0 (0.6)38.0 (0.6)5.8 (0.3)4.6 (0.3)60.6 (0.9)13.1 (0.5)
Current healthinsurance coverage
  Yes2573366.1 (0.4)33.9 (0.4)<0.00016.4 (0.2)<0.00014.1 (0.1)<.000163.9 (0.5)11.5 (0.3)<0.0001
  No452779.1 (0.9)20.9 (0.9)5.0 (0.4)1.8 (0.2)75.3 (1.3)7.8 (0.5)
Marital status
  Married1690165.5 (0.5)34.5 (0.5)<0.00016.2 (0.2)<0.00014.1 (0.2)<.000163.3 (0.7)11.5 (0.4)<0.0001
  Live with partner213372.7 (1.2)27.3 (1.2)6.5 (0.6)2.5 (0.3)69.3 (1.8)11.3 (1.1)
  Divorced/Widowed/ Other539955.9 (1.1)44.1 (1.1)8.4 (0.5)5.9 (0.4)54.6 (1.3)14.0 (0.8)
  Single, nevermarried582779.5 (0.8)20.5 (0.8)4.7 (0.3)2.1 (0.2)77.7 (1.1)7.2 (0.5)
General healthcondition
  Excellent728765.6 (0.8)34.4 (0.8)<0.00016.1 (0.4)0.00264.1 (0.3)<0.000162.0 (1.0)11.6 (0.6)<0.0001
  Very good1002166.1 (0.6)33.9 (0.6)6.0 (0.3)4.0 (0.3)63.3 (0.8)12.4 (0.6)
  Good823472.9 (0.7)27.1 (0.7)5.4 (0.3)2.9 (0.2)70.8 (0.9)9.3 (0.5)
  Fair366870.3 (1.0)29.7 (1.0)7.4 (0.5)3.9 (0.4)67.9 (1.3)10.0 (0.7)
  Poor105064.8 (2.0)35.2 (2.0)8.0 (1.0)4.6 (0.7)60.9 (2.9)10.1 (1.4)
Usual source ofhealth care
  Yes2674366.3 (0.4)33.7 (0.4)<0.00016.4 (0.2)<0.00014.1 (0.1)<0.000164.2 (0.5)11.4 (0.3)<0.0001
  No351781.1 (0.9)18.9 (0.9)4.2 (0.4)1.5 (0.3)78.4 (1.2)6.7 (0.7)
Having conditionthat limits basicphysical activities
  Yes438359.1 (1.0)40.9 (1.0)<0.00018.6 (0.5)<0.00015.0 (0.4)<0.000155.7 (1.3)14.5 (0.9)<0.0001
  No2587769.9 (0.4)30.1 (0.4)5.7 (0.2)3.5 (0.1)67.3 (0.6)10.3 (0.3)

All percentages presented are weighted.

Age at diagnosis was ascertained for FMHs of breast, ovarian, endometrial, colorectal, and prostate cancer. Early onset is considered age < 50 years for the affected relative.

This analysis was limited to women only.

P-values for site specific FMH of cancer obtained from chi square tests comparing the site specific cancer to persons without a FMH of cancer.

Prevalencea and adjusted odds ratios of select health behaviors and cancer screening test use among Californians aged 18–64 years by family medical history of cancer, California Health Interview Survey, 2005

Family medical history (FMH) of cancer

Nonen=18,234Anyn=12,026Colorectalcancer n=1,538Early onset infirst-degreerelative (any)n=2,145bEarly onsetof colorectalcancer infirst-degreerelative,n=323b

Characteristic% (SE), AOR(95% CI)% (SE), AOR(95% CI)Pc% (SE), AOR(95% CI)Pc% (SE), AOR(95% CI)Pc% (SE), AOR(95% CI)Pc
Eat 5 or more servingsfruit/vegetables daily
  No50.5 (0.5)51.9 (0.7)0.120655.3 (1.6)0.005751.5 (1.7)0.568054.6 (3.9)0.3180
  Yes49.5 (0.5)48.1 (0.7)44.7 (1.6)48.5 (1.7)45.4 (3.9)
Adjusted OR, 95% CIdref0.96 (0.89, 1.04)0.28470.84 (0.73, 0.96)0.01391.00 (0.86, 1.16)0.9884NC
Level of physical activity
  Some/none67.8 (0.5)68.2 (0.6)0.583065.8 (1.7)0.260968.8 (1.5)0.474767.1 (3.8)0.8450
  Regular physicalactivity32.2 (0.5)31.8 (0.6)34.2 (1.7)31.2 (1.5)32.9 (3.8)
  Adjusted OR, 95% CIdref0.95 (0.88, 1.03)0.21481.07 (0.92, 1.26)0.37550.97 (0.84, 1.11)0.6215NC
Smoking status
  Current smoker16.1 (0.4)16.7 (0.5)0.381815.6 (1.4)0.710918.5 (1.3)0.065816.5 (2.5)0.8927
  Not a current smoker83.9 (0.4)83.3 (0.5)0.105984.4 (1.4)0.856581.5 (1.3)83.5 (2.5)
  Adjusted OR, 95% CIdref0.91 (0.82, 1.02)0.98 (0.77, 1.24)0.86 (0.70, 1.05)0.1300NC
Binge drinking on one ormore occasions in pastmonth
  Yes21.1 (0.4)17.9 (0.5)<0.000115.6 (1.3)0.001017.6 (1.3)0.025817.3 (3.3)0.2950
  No78.9 (0.4)82.1 (0.5)84.4 (1.3)82.4 (1.3)82.7 (3.3)
  Adjusted OR, 95% CIdref0.96 (0.88, 1.05)0.36071.01 (0.80, 1.28)0.90721.03 (0.84, 1.26)0.7620NC
Body mass index
  25.0 or higher kg/m254.3 (0.5)57.4 (0.6)0.000160.6 (1.7)0.001158.4 (1.4)0.007461.8 (3.9)0.0710
  ≤ 24.99 kg/m245.7 (0.5)42.6 (0.6)39.4 (1.7)41.6 (1.4)38.2 (3.9)
  Adjusted OR, 95% CIdref0.91 (0.85, 0.98)0.00980.80 (0.67, 0.94)0.00680.90 (0.79, 1.02)0.0900NC
Colorectal cancerscreening
Among adults aged 50–64 years, n=10,310e
  Not up-to-date55.5 (1.0)43.8 (1.0)<0.000128.5 (2.2)<0.000143.7 (2.0)<0.000134.8 (5.0)0.0003
  Up-to-date44.5 (1.0)56.2 (1.0)71.5 (2.2)56.3 (2.0)65.2 (5.0)
  Adjusted OR, 95% CIfref1.33 (1.17, 1.51)<0.00012.77 (2.20, 3.49)<0.00011.37 (1.12, 1.66)0.0022NC
Among adults aged 40–64 years, n=10,594e
  Not up-to-date72.5 (0.6)NC42.1 (2.0)<0.0001NC46.7 (4.2)<0.0001
  Up-to-date27.5 (0.6)57.9 (2.0)53.3 (4.2)
Colonoscopy within past5 years (adults aged 40–64 years), n=10,571
  No85.7 (0.5)NC58.6 (2.1)<0.0001NC58.0 (3.8)<0.0001
  Yes14.3 (0.5)41.4 (2.1)42.0 (3.8)
Mammogram screeningwithin past two years(women aged 40–64years), n=10 865
  No26.3 (0.9)19.2 (0.8)<0.000117.0 (1.9)0.000321.2 (1.8)0.0143NC
  Yes73.7 (0.9)80.8 (0.8)83.0 (1.9)78.9 (1.8)
  Adjusted OR, 95% CIfref1.24 (1.08, 1.43)0.00331.33 (1.00, 1.78)0.05361.18 (0.95, 1.47)0.1429

All percentages presented are weighted.

Age at diagnosis was ascertained for FMHs of breast, ovarian, endometrial, colorectal, and prostate cancer. Early onset is considered age < 50 years for the affected relative.

P-values for weighted prevalence estimates obtained from chi square tests comparing the site specific cancer to persons without a FMH of cancer. P-values from multivariate logistic regression models compare the site specific cancer to persons without a FMH of cancer (referent group).

All health behavior models control for age, sex, race/ethnicity, household income, education, usual health care provider, and marital status. The smoking status model includes health insurance, having a condition that substantially limits one or more basic physical activities, and general health status. The physical activity and healthy weight models include having a condition that substantially limits one or more basic physical activities and general health status. The binge drinking model includes having a condition that substantially limits one or more basic physical activities.

Adults aged 50 years and older are considered up-to-date with CRC screening if they have had one of the following tests: fecal occult blood test (FOBT) within the past year, sigmoidoscopy within the past 5 years, or colonoscopy within the past 10 years.

All cancer screening models control for age, race/ethnicity, household income, health insurance, and usual health care provider. The CRC screening models include education level.

AOR=adjusted odds ratio

NC=not calculated

Ref=referent group

OR=odds ratio

Prevalencea and adjusted odds ratios of select health behaviors and cancer screening test use among California women aged 18–64 years by family medical history of breast or ovarian cancer, California Health Interview Survey, 2005

Family medical history (FMH) of breast or ovarian cancer in women

No FMH of any cancer n=10,118Any n=2,357Early onset in first-degree relative,n=829b

Characteristic% (SE), AOR (95% CI)% (SE), AOR (95% CI)Pc% (SE), AOR (95% CI)Pc
Eat 5 or more servingsfruit/vegetables daily
  No58.6 (0.7)57.9 (1.4)0.670759.2 (2.4)0.8186
  Yes41.4 (0.7)42.1 (1.4)40.8 (2.4)
Adjusted OR, 95% CIdref0.97 (0.84, 1.12)0.6649NC
Level of physical activity
  Some/none71.3 (0.5)68.4 (1.3)0.021171.2 (2.0)0.9682
  Regular physical activity28.7 (0.5)31.6 (1.3)28.8 (2.0)
Adjusted OR, 95% CIdref1.03 (0.91, 1.17)0.5890NC
Smoking status
  Current smoker11.3 (0.4)14.0 (1.1)0.017214.3 (1.7)0.0687
  Not a current smoker88.7 (0.4)86.0 (1.1)85.7 (1.7)
ref0.91 (0.74, 1.12)0.3498NC
Binge drinking on one or moreoccasions in past month
  Yes12.6 (0.4)13.0 (1.0)0.634313.1 (1.9)0.7614
  No87.4 (0.4)87.0 (1.0)86.9 (1.9)
Adjusted OR, 95% CIdref0.91 (0.76, 1.09)0.2959NC
Body mass index
  25.0 or higher kg/m244.0 (0.7)48.0 (1.4)50.8 (2.4)
  ≤ 24.99 kg/m256.0 (0.7)52.0 (1.4)0.012149.2 (2.4)0.0097
Adjusted OR, 95% CIdref0.89 (0.78, 1.03)0.1070NC
Colorectal cancer screening(women aged 50–64 years),n=6,086e
  Not up-to-date54.5 (1.3)42.5 (2.1)<.0001NC
  Up-to-date45.5 (1.3)57.5 (2.1)
Adjusted OR, 95% CIfref1.38 (1.12, 1.71)0.0030
Mammogram screening withinpast two years (women aged40–64 years), n=6,940
  No26.3 (0.9)14.9 (1.1)<0.000118.5 (2.4)0.0068
  Yes73.7 (0.9)85.1 (1.1)81.5 (2.4)
Adjusted OR, 95% CIfref1.69 (1.39, 2.04)<0.0001NC
Reason for last mammogram(women aged 30–64 years),n=6,734g
  Part of routine physical exam85.7 (0.7)54.0 (1.5)<0.000145.0 (3.0)<0.0001
  Because of a specific breastproblem6.4 (0.5)5.1 (0.6)5.3 (1.2)
  Follow-up to previous breastproblem5.3 (0.5)7.7 (0.8)8.0 (1.6)
  Due to family history2.6 (0.3)33.2 (1.6)41.7 (3.1)
Mammogram screening withinpast year (women aged 30 – 64years), n=10,016
  No63.2 (0.7)40.6 (1.1)<0.000143.9 (1.8)<0.0001
  Yes36.8 (0.7)59.4 (1.1)56.1 (1.8)

All percentages presented are weighted.

Age at diagnosis was ascertained for FMHs of breast, ovarian, endometrial, colorectal, and prostate cancer. Early onset is considered age < 50 years for the affected relative.

P-values for weighted prevalence estimates were obtained from chi square tests comparing women with FMH of breast or ovarian cancer to women without a FMH of cancer. P-values from multivariate logistic regression models compare women with FMH of breast or ovarian cancer to women without a FMH of cancer (referent group).

All health behavior models control for age, race/ethnicity, household income, education, usual health care provider, and marital status. The smoking status model includes health insurance, having a condition that substantially limits one or more basic physical activities, and general health status. The physical activity and healthy weight models include having a condition that substantially limits one or more basic physical activities and general health status. The binge drinking model includes having a condition that substantially limits one or more basic physical activities.

Adults aged 50 years and older are considered up-to-date with CRC screening if they have had one of the following tests: fecal occult blood test (FOBT) within the past year, sigmoidoscopy within the past 5 years, or colonoscopy within the past 10 years.

All cancer screening models control for age, race/ethnicity, household income, health insurance, and usual health care provider. The CRC screening models include education level.

Analysis limited to women who had received a mammogram within the past two years

AOR=adjusted odds ratio

NC=not calculated

Ref=referent group

OR=odds ratio